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  1. det_curve — scikit-learn 1.6.1 documentation

    Gallery examples: Detection error tradeoff (DET) curve
    scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. matthews_corrcoef — scikit-learn 1.6.1 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version matthews_corrcoef # sklearn.metrics. matthews_corrcoe...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html
    Sat Apr 19 00:31:21 UTC 2025
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  3. rand_score — scikit-learn 1.6.1 documentation

    Gallery examples: Adjustment for chance in clustering performance evaluation
    scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. coverage_error — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version coverage_error # sklearn.metrics. coverage_error ( y_...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html
    Sat Apr 19 00:31:21 UTC 2025
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  5. sklearn.manifold — scikit-learn 1.6.1 documenta...

    Data embedding techniques. User guide. See the Manifold learning section for further details.
    scikit-learn.org/stable/api/sklearn.manifold.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. classification_report — scikit-learn 1.6.1 docu...

    Gallery examples: Recognizing hand-written digits Faces recognition example using eigenfaces and SVMs Pipeline ANOVA SVM Custom refit strategy of a grid search with cross-validation Restricted Bolt...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. r2_score — scikit-learn 1.6.1 documentation

    Gallery examples: L1-based models for Sparse Signals Non-negative least squares Ordinary Least Squares Example Failure of Machine Learning to infer causal effects Effect of transforming the targets...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. power_transform — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version power_transform # sklearn.preprocessing. power_transf...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html
    Sat Apr 19 00:31:22 UTC 2025
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  9. safe_mask — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version safe_mask # sklearn.utils. safe_mask ( X , mask ) [so...
    scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. log_loss — scikit-learn 1.6.1 documentation

    Gallery examples: Probability Calibration curves Probability Calibration for 3-class classification Gradient Boosting Out-of-Bag estimates Gradient Boosting regularization Probabilistic predictions...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html
    Sat Apr 19 00:31:22 UTC 2025
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